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《Science of Surveying and Mapping》 2008-S3
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Object-oriented land cover information extraction from high-resolution remote sensing images

WANG Wen-yu①,LI Jing②(①Bei Jing Institute of Civil Engineering and Architecture,Beijing 100044,China;②Beijing,Seoul National Road East Technology Co.,Ltd.,Beijing 100032,China)  
Using high-resolution images from land cover information technology is the key to how to make use of rich texture spectrum of information to make up for the lack of information. Object-oriented image classification technology has changed the traditional classification of the pixel-oriented technology:To interpret the image information is not in a single pixel,but in the image objects and their mutual relations; using multi-resolution image segmentation method of generating targets,raising the classification of information SNR; Object-based classification is different from a purely technical spectrum of information classification,image also contains many objects can be used for the classification of some other characteristics:shape,texture,mutual relations,relations and context etc. Based on eCognition land cover classification results compared with the traditional classification,feature extraction and operator for more information on the geometry and structure of information-rich high-resolution images of automatic identification classification.
【Fund】: 2008年北京市教委科技计划项目(KM200810016004)
【CateGory Index】: TP751
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